SAP Data Strategy & Governance
Data-driven strategies for SAP landscapes. Clarity on quality, ownership and stewardship.
- Data strategy roadmap
- Governance framework
- Data ownership model
- Quality criteria & metrics
- Rollout plan
SAP · Data · Governance
Clear data.
Clear data.
Clear decisions.
Freelance consulting for SAP Data Strategy, Master Data Governance and S/4HANA migration, plus AI integration with Joule, GenAI Hub and custom agents. Methodical — SAP Activate combined with Scrum and SAFe.
Enterprise SAP since 2007
Core Services
SAP consulting. Fundamental.
Strategy, governance, migration and architecture — the foundation of resilient SAP data landscapes. Since 2007, methodical per SAP Activate with Scrum and SAFe.
SAP Master Data Governance (MDG)
Design and implementation of MDG solutions for centralized master data — from operating model to workflow design.
- MDG operating model
- Workflow design & configuration
- Data model extension
- ECC / S/4HANA integration
- Change request management
- Rollout & training
SAP Data Migration
Safe, complete migrations from legacy systems to SAP ECC or S/4HANA — from readiness to go-live.
- Migration strategy & plan
- Data readiness assessment
- Mapping & transformation
- Test & validation concept
- Migration execution support
- Cutover planning
Solution Architecture & Integration
Architecture for master data distribution, system integration and data flows between SAP and third-party systems.
- Integration architecture design
- Master data distribution
- API / EDI integration
- Data flow documentation
- Technical specifications
AI Strategy & Advisory
Strategic consulting for AI adoption in SAP landscapes — use cases, readiness, business case. Vendor-neutral, no hype.
- AI readiness assessment
- Use-case identification & prioritization
- Make-or-buy decisions
- Technology stack evaluation
- AI governance & ethics
- Business case & ROI
Data Product & Quality Strategy
The bridge between classical master data management and AI readiness: treating master data as a scalable product — with ownership, quality metrics and a clear lifecycle.
- Data product thinking
- Data ownership & contracts
- Data quality framework & KPIs
- Data readiness for AI / ML
- Governance maturity assessment
- Data lifecycle management
AI · on top
Strategy advisory here — concrete products and implementations below: DataPilot, Joule skills, GenAI Hub integrations. See AI tools →
Approach
Structured. Iterative. Reliable.
SAP Activate combined with agile practices (Scrum / SAFe). Clear deliverables, regular stakeholder feedback, early validation.
01 · Discover
Understand the state
As-is analysis, data quality, objectives — focused assessments, not PowerPoint marathons.
- As-is & current state
- Target picture & business case
- Gap & risk assessment
- High-level roadmap
02 · Explore
Validate the solution
Workshops, fit-gap analysis, design thinking on top of proven SAP best practices.
- Solution design documents
- Fit-gap & delta design
- Proof of concept
- Sprint backlog (Scrum/SAFe)
03 · Realize
Deliver iteratively
Scrum sprints (2–4 weeks) or SAFe PI planning. Continuous integration, regular reviews.
- Sprint planning & reviews
- PI planning (SAFe)
- Configuration & builds
- Test & UAT support
04 · Deploy
Go live safely
Go-live preparation, cutover planning, hypercare per SAP Activate standards.
- Cutover plan & runbook
- Go-live & hypercare
- Knowledge transfer
- Lessons learned
AI · on top
AI as an accelerator.
Proprietary products and integration patterns that sit on top of classical SAP landscapes — with DataPilot as the flagship, plus Joule, GenAI Hub and agent integrations. Additive offerings that extend my core SAP consulting.
Flagship Product · AI-Powered
DataPilot · built by me
Ask your SAP system anything. In plain language.
AI-powered natural language queries against SAP ECC and S/4HANA, self-learning data quality, and migration support. Without Gateway, without BTP lock-in, without the usual pain.
- Natural Language → SAP QuerySQL, OData and CDS generated dynamically
- Self-learning Data QualityAI detects patterns and anomalies autonomously
- S/4HANA Migration SupportReadiness checks and mapping suggestions
- ECC & S/4HANA compatibleOn-prem, private cloud or public
- LLM-agnosticClaude · GPT-4 · Llama · your own
- Multi-tenant capableSaaS deployment ready
Joule Extensions & Custom Skills
Extensions for SAP Joule and domain-specific Joule skills — from MDG queries to migration status.
- Custom Joule skills
- Joule Studio configuration
- Domain knowledge packs
- S/4HANA & BTP integration
- Prompt engineering for Joule
- Governance & guardrails
GenAI Hub & AI Core Integration
Architecture and implementation around SAP AI Core, GenAI Hub and HANA Vector Engine — for enterprise RAG scenarios.
- GenAI Hub setup & configuration
- Model orchestration (Claude, GPT-4, Llama)
- RAG with HANA Vector Engine
- Document Information Extraction
- BTP deployment & hyperscaler
- Cost control & observability
AI Data Quality Agents
Agentic AI solution for automated data quality checks, duplicate detection and cleansing — event-driven on BTP Advanced Event Mesh.
- AI quality analysis
- Intelligent duplicate detection
- Agentic cleansing workflows
- Event Mesh / event-based triggers
- Custom quality rules
- Audit trail & reporting
Cases
Selected engagements.
Representative projects from enterprise SAP programs. Details under NDA — happy to discuss.
MDG · Event Mesh · Salesforce
MDG implementation with real-time integration
Global industrial company
- Situation
- Centralized master data with real-time synchronization between SAP and Salesforce required. Fragmented data, no consistent governance.
- Approach
- End-to-end design of SAP MDG on HEC for Business Partner and Material. Event Mesh + SAP CPI for bidirectional Salesforce sync. Governance structures and approval workflows in close collaboration with business and IT.
- Outcome
- MDG solution and governance framework established. Event-based architecture for real-time sync in production. Global rollout readiness achieved.
MDG · Ariba SLP · Global
Global business partner harmonization
International group · Multi-region rollout
- Situation
- Unified master data management for Business Partner across regions. Lack of harmonization, inconsistent processes, high manual effort.
- Approach
- Global MDG and Ariba SLP implementation under Scrum. Business Partner Concept co-designed with key stakeholders. Cross-functional teams, regular reviews across time zones.
- Outcome
- Consistent project alignment across all regions. Business Partner Concept successfully implemented. Global rollout completed.
S/4HANA · Migration · SAFe
S/4HANA migration data readiness
Large infrastructure company
- Situation
- S/4HANA migration with multiple legacy sources, unclear data quality, missing mapping rules. Risk of go-live delays due to unprepared data.
- Approach
- Migration strategy defined and executed under SAFe. High-performing migration team built. Tool selection and processes optimized. Primary sparring partner for the Migration Lead.
- Outcome
- Migration strategy successfully delivered, milestones achieved ahead of plan. Tool selection optimized, data quality profiles created, mapping complete. Project completed on schedule.
About
Jens Franke
SAP Data & MDG Consultant since 2007. Enterprise programs across manufacturing, automotive and consumer goods.
Way of working: methodical per SAP Activate, agile delivery via Scrum or SAFe. Focused on clear structures, clean migrations and reliable integrations. No hype, just method.
Get in touch →Engagement model
Freelance, project-based. Remote or onsite. Typically 3–5 days per week per project, currently open for 1–2 parallel engagements.
Methods & tools
SAP Activate, Scrum, SAFe. SAP MDG, Data Services, Information Steward. Confluence, Miro, Figma. Adaptable to your stack.
Deliverables
Strategies, design documents, technical specifications, configuration guides, test concepts. Close collaboration with development and business.
FAQ
Common questions.
How does the engagement work?
Freelance engagements, project-based, following SAP Activate with Scrum or SAFe. Start with Discovery, structured Explore workshops, iterative Realize sprints (2–4 weeks), Deploy support. Regular sprint reviews or PI planning. Remote or onsite.
What's your availability?
Currently open for 1–2 parallel engagements. Typically 3–5 days per week per project. Long-term support possible.
Remote or onsite?
Both. Discovery and design phases are often efficient remote. Workshops and knowledge transfer ideally onsite. Flexible mix.
Which industries have you worked in?
Focus on manufacturing, automotive, consumer goods. Also pharma, retail, services. Industry-specific requirements are covered in discovery.
What deliverables can you provide?
Strategies, concepts, design documents, technical specifications, configuration guides, test concepts, documentation. No in-house development, but close collaboration with developers.
How is confidentiality handled?
NDA by default. No information shared, no references without explicit permission. Project details stay confidential.
Which tools do you use?
SAP standard (MDG, Data Services, Information Steward), documentation (Confluence, SharePoint), collaboration (Miro, Figma). Adaptable to your tooling.
What does an engagement cost?
Project-dependent, based on scope and complexity. Transparent billing by day rate or fixed price for well-scoped work. Initial estimate after discovery call.
Contact
Let's talk about your project.
A short note with context — I'll get back within one business day.
- jens@franke.tk
- Based in
- Kanoldstraße 37
47053 Duisburg, Germany - Availability
- Remote & onsite · DACH / EU